Junior AI Engineer

About the role

We're looking for a Junior AI Engineer to help design and build intelligent solutions that address real client problems. You'll work at the intersection of data, machine learning, and application development — integrating AI technologies into existing systems, evaluating model performance, and contributing to agentic frameworks that automate complex workflows.

This is a highly applied role. You won't just be experimenting with models in a notebook — you'll be shipping solutions, interacting directly with clients, and communicating your design decisions clearly to both technical and non-technical audiences.

What you'll do

• Integrate AI and ML models into client applications and data environments, connecting them to relevant data sources and workflows
• Assist in the design and development of agentic AI frameworks that automate multi-step processes and decision-making
• Evaluate model performance using established and custom metrics, identifying failure modes, biases, and opportunities for improvement
• Fine-tune pre-trained models (LLMs and others) on domain-specific datasets to address targeted client use cases
• Build and iterate on custom AI-powered solutions including RAG pipelines, classifiers, summarizers, and intelligent automation tools
• Collaborate with data engineers to ensure clean, well-structured data is available for model training and inference
• Participate in client-facing meetings to present solution designs, gather requirements, and explain AI capabilities and limitations
• Document model architectures, evaluation results, and integration patterns to support team knowledge sharing

Requirements

• 1–3 years of experience in AI/ML engineering, applied machine learning, or a related technical role
• Proficiency in Python, with experience using ML/AI libraries such as PyTorch, TensorFlow, or Hugging Face Transformers
• Familiarity with large language models (LLMs) and prompt engineering techniques
• Understanding of model evaluation practices — metrics, benchmarking, and iterative testing
• Experience or strong familiarity with fine-tuning pre-trained models on custom datasets
• Basic understanding of agentic AI concepts and frameworks (LangChain, LlamaIndex, AutoGen, or similar)
• Comfortable working with structured and unstructured data in the context of AI/ML workflows
• Ability to clearly articulate technical design decisions to clients and cross-functional teammates
• Familiarity with version control (Git) and collaborative development practices